Gender: Female 
Age: 25-34
Nationality: Nigeria
Ethnicity: Black or African American 
Marital status: Single 
First language: English 
Religion: Christian 
Education: Graduate degree
Mother's education: Graduate degree
Father's education: Graduate degree
Self-assessed socioeconomic status (1-10): 6
Home: Rent 
Employment: Employed full time
Occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Mother's occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Father's occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Hobbies: Use social media;Listen to hiphop and rap 
Devices used daily: Laptop;Smartphone 
NLP tools known: Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Text-to-Speech (i.e, computers being able to read out loud written language);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Spell checker (i.e., correcting misspellings) 
NLP tools used: Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Grammar checker (i.e., correcting grammar mistakes);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools they would find useful: Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder) 
Frequency of LLM use: Nearly every day
LLMs used: ChatGPT 
LLM use cases: Coding;Writing (e.g., composing emails);Proofreading/Editing (e.g., grammar, spelling, structure improvements);Learning (e.g., explaining complex concepts in simple terms);Summarizing long texts 
Contexts of LLM use: Work;Personal;Learning 
Prompt 1: Is the Summary 2 comprehensive? Please share comments in the text box below justifying your response
Prompt 2: Assess the readability of the Summary 1 in terms of ease of understanding and clarity. It could be unclear due to poor formatting, very technical or ambiguous language, use of very long or complex sentences, etc
Prompt 3: Assess the readability of the Summary 2 in terms of ease of understanding and clarity. It could be unclear due to poor formatting, very technical or ambiguous language, use of very long or complex sentences, etc
Prompt 4: Is the Summary 1 concise and not unnecessarily wordy or verbose?
Prompt 5: Is the Summary 2 concise and not unnecessarily wordy or verbose?
Prompt 6: Does the Summary 1 mention any detail that is not present in the document and refer to external sources or general knowledge?
Prompt 7: Does the Summary 2 mention any detail that is not present in the document and refer to external sources or general knowledge?
Prompt 8: How would you rate the OVERALL quality of this Summary 1 for this document
Prompt 9: How would you rate the OVERALL quality of this Summary 2 for this document
Prompt 10: Which Summary do you like more for this document?
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